Traditional analytics tools are page-focused.

They measure:

* Page views
* Click paths
* Time on page
* Bounce rates
* Conversion events

These metrics describe surface interaction.

They do not describe revenue durability.

CBSplit was built to track journeys, not pages.

A page represents:

* A single interaction
* A step in a sequence
* A short-term decision point

A customer journey includes:

* Pre-click intent
* Purchase behavior
* Upsell decisions
* Refund timing
* Rebill cycles
* Long-term retention

Revenue is defined by the journey, not the page.

Most tools can track:

* Landing page conversion
* Checkout initiation
* Order confirmation

After that, visibility weakens.

They rarely integrate:

* Refund reconciliation
* Subscription survival
* Retry logic
* Chargeback exposure

CBSplit extends tracking beyond the page boundary.

Customer quality becomes visible through:

* Refund behavior
* Rebill consistency
* Churn velocity
* Cohort stability

These signals unfold over time.

Page-level metrics cannot infer lifecycle durability.

Revenue systems often include:

* Multi-step upsell flows
* External checkout systems
* Subscription billing platforms
* Cross-domain redirects

Page analytics fragment these events.

CBSplit stitches them into a unified journey.

Two traffic sources may show identical page metrics.

Over time, their journeys may differ:

* One produces stable subscribers
* One generates refund clusters
* One maintains long-term value
* One churns quickly

Page data hides this divergence.

Journey data reveals it.

Scaling based on page performance alone can:

* Inflate revenue volume
* Increase refund exposure
* Reduce retention durability
* Raise processor risk

Lifecycle visibility prevents premature scaling.

CBSplit aligns decisions with full journey data.

True performance measurement requires:

* Refund-adjusted revenue
* Rebill-adjusted LTV
* Cohort-level retention analysis
* Risk-aware evaluation

These metrics emerge from journeys.

Not pages.